An execution system of logic programming language using neural networks - An improvement of the transformation algorithm

被引：0
|
作者：
Kikuchi, Y [1 ]
Murakoshi, H [1 ]
Funakubo, N [1 ]
机构：
[1] Tokyo Metropolitan Inst Technol, Dept Elect Engn Syst, Hino, Tokyo 1910065, Japan
来源：
IECON '98 - PROCEEDINGS OF THE 24TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose an execution system of logic programming language using neural networks. We transform the style like logic programming language into Hopfield-type neural network and attempt to execute logic programming language using the ability of neural network as optimization machine. Although we have proposed a such system, previous works are not implemented "list processing". Therefore we propose an improved transformation algorithm for "list processing". A performance of the new transformation algorithm is evaluated by comparing with a previous algorithm, without handling list structure, for logic programming language, The result shows that the proposed algorithm generates especially smaller network scale than conventional algorithm, and reduces iteration times.
引用
收藏
页码：40 / 45
页数：6
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